Scaling up single-cell RNA-seq data analysis with CellBridge workflow.

ABSTRACT:

Summary

Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of gene expression at the individual cell level, unraveling unprecedented insights into cellular heterogeneity. However, the analysis of scRNA-seq data remains a challenging and time-consuming task, often demanding advanced computational expertise, rendering it impractical for high-volume environments and applications. We present CellBridge, an automated workflow designed to simplify the standard procedures entailed in scRNA-seq data analysis, eliminating the need for specialized computational expertise. CellBridge utilizes state-of-the-art computational methods, integrating a range of advanced functionalities, covering the entire process from raw unaligned sequencing reads to cell type annotation. Hence, C

SUBMITTER: Nouri N 

PROVIDER: S-EPMC10751228 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature